Image-to-image translation proposed by Isola  [1]} translates
input domain to another domain using input and output for training.
This work was extended by Wang  [2]} to synthesize
high-resolution images from input semantic labels.
Despite the results, their work relied on semantic labels which are not always
available and practical for most inputs.
Karras  [3]} obtained impressive results in generating
images with high-resolution using GAN, trained in an unconditional manner.
The network can synthesize facial images with great details
but it requires a large amount of computing power.
